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internlm
/
internlm-xcomposer2-7b

Text Generation
Transformers
PyTorch
internlmxcomposer2
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use internlm/internlm-xcomposer2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use internlm/internlm-xcomposer2-7b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="internlm/internlm-xcomposer2-7b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("internlm/internlm-xcomposer2-7b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use internlm/internlm-xcomposer2-7b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "internlm/internlm-xcomposer2-7b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "internlm/internlm-xcomposer2-7b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/internlm/internlm-xcomposer2-7b
  • SGLang

    How to use internlm/internlm-xcomposer2-7b with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "internlm/internlm-xcomposer2-7b" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "internlm/internlm-xcomposer2-7b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "internlm/internlm-xcomposer2-7b" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "internlm/internlm-xcomposer2-7b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use internlm/internlm-xcomposer2-7b with Docker Model Runner:

    docker model run hf.co/internlm/internlm-xcomposer2-7b
internlm-xcomposer2-7b
17.3 GB
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  • 3 contributors
History: 15 commits
myownskyW7's picture
myownskyW7
Update README.md
d7ab428 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    7.25 kB
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  • bamboo.jpeg
    16 kB
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  • build_mlp.py
    7.25 kB
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  • config.json
    1.01 kB
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  • configuration_internlm_xcomposer2.py
    7.55 kB
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  • generation_config.json
    175 Bytes
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  • logo.png
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  • logo_en.png
    46.2 kB
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  • modeling_internlm2.py
    39.5 kB
    update over 2 years ago
  • modeling_internlm_xcomposer2.py
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    Update modeling_internlm_xcomposer2.py over 2 years ago
  • panda.jpg
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    17.3 GB
    xet
    update over 2 years ago
  • special_tokens_map.json
    95 Bytes
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  • tokenization_internlm_xcomposer2.py
    9.18 kB
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  • tokenizer.model
    1.48 MB
    xet
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  • tokenizer_config.json
    401 Bytes
    update over 2 years ago